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Updated: Jun 11, 2025

Author Spotlight: Integrating Ultrasound Imaging with Biochemical Markers for Thyroid Disease Diagnosis

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Thyroid Screening Techniques via Bioelectromagnetic Sensing: Imaging Models and Analytical and Computational Methods.

Anna A Varvari¹, Alexandros Pitilakis¹, Dimitrios I Karatzidis¹

¹School of Electrical and Computer Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.

Sensors (Basel, Switzerland)

|September 28, 2024

Summary

This review surveys bioelectromagnetic models for thyroid studies using non-invasive biosensors. It guides selecting appropriate models and analysis techniques based on frequency, design, and methodology.

Keywords:

bioelectromagnetic sensing computational electromagnetics electromagnetics-based techniques for disease localization and classification imaging models thyroid screening methods

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Area of Science:

Bioelectromagnetics
Thyroid physiology
Biosensor technology

Background:

The thyroid gland is sensitive to electromagnetic radiation and vital for hormonal regulation.
Biosensors offer non-invasive methods for assessing thyroid health.
Understanding bioelectromagnetic interactions is key to thyroid monitoring.

Purpose of the Study:

To systematically review recent literature on bioelectromagnetic models for thyroid studies.
To analyze models based on frequency spectrum, design, and methodology.
To provide guidance for selecting and analyzing thyroid bioelectromagnetic models.

Main Methods:

Systematic literature review of bioelectromagnetic models for thyroid analysis.
Focus on the radiation transmitter-thyroid model-sensor system.
Analysis centered on frequency bands, model design, and algorithms.

Main Results:

Identified specialized areas within thyroid bioelectromagnetic modeling.
Highlighted limitations of existing models, including resource requirements and performance.
Detailed the trade-offs between different modeling approaches.

Conclusions:

The review offers guidance for selecting appropriate bioelectromagnetic thyroid models.
It provides a framework for analyzing models based on specific electromagnetic problems and available resources.
Informed selection of thyroid biosensor models and analysis techniques.